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Authors: Mikihiro Tokuoka 1 ; Haruya Tamaki 1 ; Tsugunosuke Sakai 1 ; Hiroshi Mizoguchi 1 ; Ryohei Egusa 2 ; Shigenori Inagaki 3 ; Mirei Kawabata 4 ; Fusako Kusunoki 4 and Masanori Sugimoto 5

Affiliations: 1 Tokyo University of Science, Japan ; 2 JSPS Research Fellow and Kobe University, Japan ; 3 Kobe University, Japan ; 4 Tama Art University, Japan ; 5 Hokkaido University, Japan

ISBN: 978-989-758-239-4

ISSN: 2184-5026

Keyword(s): Kinect V2 Sensor, Immersive, Learning Support System, Gesture Recognition.

Related Ontology Subjects/Areas/Topics: Active Learning ; Collaboration and e-Services ; Computer-Supported Education ; e-Business ; e-Learning ; Enterprise Information Systems ; Immersive Learning ; Information Technologies Supporting Learning ; Learning/Teaching Methodologies and Assessment ; Pattern Recognition ; Theory and Methods ; Virtual Learning Environments

Abstract: We are developing an immersive learning support system for paleontological environments in museums. The system measures the body movement of the learner using a Kinect sensor, and provides a sense of immersion in the paleontological environment. Conventional systems are only able to recognize simple body movements, which is insufficient to completely immerse learners in the paleontological environment. On the other hand, when they need to perform complicated body movements, learners move their bodies eagerly while thinking. This emphasizes the importance of developing a sub-system capable of recognizing complicated body movements. In this paper, we describe a sub-system developed to recognize the body movement of the most important learner in the immersive learning support system.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tokuoka, M.; Tamaki, H.; Sakai, T.; Mizoguchi, H.; Egusa, R.; Inagaki, S.; Kawabata, M.; Kusunoki, F. and Sugimoto, M. (2017). Development of Gesture Recognition Sub-system for BELONG - Increasing the Sense of Immersion for Dinosaurian Environment Learning Support System. In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4; ISSN 2184-5026, pages 493-498. DOI: 10.5220/0006357304930498

@conference{csedu17,
author={Mikihiro Tokuoka. and Haruya Tamaki. and Tsugunosuke Sakai. and Hiroshi Mizoguchi. and Ryohei Egusa. and Shigenori Inagaki. and Mirei Kawabata. and Fusako Kusunoki. and Masanori Sugimoto.},
title={Development of Gesture Recognition Sub-system for BELONG - Increasing the Sense of Immersion for Dinosaurian Environment Learning Support System},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={493-498},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006357304930498},
isbn={978-989-758-239-4},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Development of Gesture Recognition Sub-system for BELONG - Increasing the Sense of Immersion for Dinosaurian Environment Learning Support System
SN - 978-989-758-239-4
IS - 2184-5026
AU - Tokuoka, M.
AU - Tamaki, H.
AU - Sakai, T.
AU - Mizoguchi, H.
AU - Egusa, R.
AU - Inagaki, S.
AU - Kawabata, M.
AU - Kusunoki, F.
AU - Sugimoto, M.
PY - 2017
SP - 493
EP - 498
DO - 10.5220/0006357304930498

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